Package | Description |
---|---|
org.deidentifier.arx |
This package provides the public API for the ARX anonymization framework.
|
org.deidentifier.arx.criteria |
This package implements different variants of class-based privacy criteria,
such as k-anonymity, l-diversity, t-closeness and d-presence.
|
org.deidentifier.arx.framework.check |
This package implements the core functionality of the ARX framework, i.e., a highly efficient check for k-anonymity
|
org.deidentifier.arx.framework.data |
This package implements data management, i.e., encoding and representing input data, output data and generalization
hierarchies
|
org.deidentifier.arx.metric |
This package implements several metrics for information loss.
|
org.deidentifier.arx.metric.v2 |
Modifier and Type | Method and Description |
---|---|
protected org.deidentifier.arx.ARXAnonymizer.Result |
ARXAnonymizer.anonymize(DataManager manager,
DataDefinition definition,
ARXConfiguration config)
Reset a previous lattice and run the algorithm .
|
protected void |
ARXConfiguration.initialize(DataManager manager)
Initializes the configuration.
|
Constructor and Description |
---|
ARXResult(org.deidentifier.arx.DataRegistry registry,
DataManager manager,
NodeChecker checker,
DataDefinition definition,
ARXConfiguration config,
ARXLattice lattice,
long duration,
SolutionSpace solutionSpace)
Creates a new instance.
|
DataHandleOutput(ARXResult result,
org.deidentifier.arx.DataRegistry registry,
DataManager manager,
Data outputGeneralized,
Data outputMicroaggregated,
ARXLattice.ARXNode node,
DataDefinition definition,
ARXConfiguration config)
Instantiates a new handle.
|
Modifier and Type | Method and Description |
---|---|
void |
PrivacyCriterion.initialize(DataManager manager)
Override this to initialize the criterion.
|
void |
PopulationUniqueness.initialize(DataManager manager) |
void |
KMap.initialize(DataManager manager) |
void |
Inclusion.initialize(DataManager manager) |
void |
HierarchicalDistanceTCloseness.initialize(DataManager manager) |
void |
ExplicitPrivacyCriterion.initialize(DataManager manager) |
void |
EqualDistanceTCloseness.initialize(DataManager manager) |
void |
EDDifferentialPrivacy.initialize(DataManager manager)
Creates a random sample based on beta
|
void |
DPresence.initialize(DataManager manager) |
void |
DDisclosurePrivacy.initialize(DataManager manager) |
Constructor and Description |
---|
NodeChecker(DataManager manager,
Metric<?> metric,
ARXConfiguration.ARXConfigurationInternal config,
int historyMaxSize,
double snapshotSizeDataset,
double snapshotSizeSnapshot,
SolutionSpace solutionSpace)
Creates a new NodeChecker instance.
|
Modifier and Type | Class and Description |
---|---|
class |
DataManagerSubset
A data manager that is projected onto a given subset.
|
Modifier and Type | Method and Description |
---|---|
DataManager |
DataManager.getSubsetInstance(RowSet rowset)
Returns an instance of this data manager, that is projected onto the given rowset
|
Modifier and Type | Method and Description |
---|---|
void |
GeneralizationHierarchy.checkMonotonicity(DataManager manager)
Throws an exception, if the hierarchy is not monotonic.
|
Constructor and Description |
---|
DataManagerSubset(DataManager source,
Data dataAnalyzed,
Data dataGeneralized,
Data dataStatic,
java.lang.String[] header,
GeneralizationHierarchy[] hierarchiesGeneralized,
int[] hierarchiesHeights,
java.util.Map<java.lang.String,GeneralizationHierarchy> hierarchiesSensitive,
java.util.Map<java.lang.String,java.lang.Integer> indexesSensitive,
int[] maxLevels,
DistributionAggregateFunction[] microaggregationFunctions,
java.lang.String[] microaggregationHeader,
int[] microaggregationMap,
int microaggregationNumAttributes,
int microaggregationStartIndex,
int[] minLevels)
Constructor
|
Modifier and Type | Method and Description |
---|---|
void |
Metric.initialize(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config)
Initializes the metric.
|
protected void |
MetricWeighted.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricStatic.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricPrecision.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricNMPrecision.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricNMEntropy.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricHeight.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricEntropy.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] ahierarchies,
ARXConfiguration config) |
protected void |
MetricDMStar.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricDM.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricDefault.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricAECS.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected abstract void |
Metric.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config)
Implement this to initialize the metric.
|
Modifier and Type | Method and Description |
---|---|
protected void |
MetricSDNMKLDivergence.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricSDNMAmbiguity.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDStatic.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDNUNMNormalizedEntropyPrecomputed.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDNUNMEntropyPrecomputed.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDNUEntropyPrecomputed.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDNMPrecision.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDNMLossPrecomputed.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDNMLoss.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
MetricMDHeight.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
AbstractMetricSingleDimensional.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |
protected void |
AbstractMetricMultiDimensionalPotentiallyPrecomputed.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] ahierarchies,
ARXConfiguration config) |
protected void |
AbstractMetricMultiDimensional.initializeInternal(DataManager manager,
DataDefinition definition,
Data input,
GeneralizationHierarchy[] hierarchies,
ARXConfiguration config) |